Abstract: Increasing data complexity in clinical decision-making processes hinders physicians’ ability to make rapid and accurate decisions. This study proposes an innovative solution to this problem ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

As AI moves from controlled experiments into real-world applications, we are entering an inflection point in the security ...

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...

ABACUS-agent-tools is a Python package that provides the Model Context Protocol (MCP) tools to connect large language models (LLMs) to ABACUS computational jobs. It serves as a bridge between AI ...

Discover how to build a homemade rubber band-powered paper airplane in this easy and engaging tutorial. We’ll guide you step-by-step as you craft the frame with skewers, add aerodynamic paper wings, ...

While generative AI has helped unlock creativity, agentic AI is now unlocking autonomy. However, the real transformation lies not in the technology, but in how enterprises design for it. As ...

Abstract: This paper presents an agent-based simulation model with cognitive elements, developed to explore strategies for managing complex projects under uncertainty. The model was implemented using ...

U.S.-listed cryptocurrency exchange Coinbase (COIN) has unleashed the latest version of its stablecoin-based payments protocol for AI agents, making it easier to extend and plug in the autonomous ...

Google released on Thursday a “reimagined” version of its research agent Gemini Deep Research based on its much-ballyhooed state-of-the-art foundation model, Gemini 3 Pro. This new agent isn’t just ...

On Tuesday, French AI startup Mistral AI released Devstral 2, a 123 billion parameter open-weights coding model designed to work as part of an autonomous software engineering agent. The model achieves ...